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Deloitte

Audits companies and advises on tax and technology

Cyber Identity – FDE Senior Consultant - Engineering and Product Engineer 3

AI Application Engineering +1Updated on Nov 13
Full-timeAtlanta, GA, USA

About the Job

Requirements

  • Three to five or more years of hands-on full-stack development experience across front-end tooling, including HTML5, CSS3, and modern JavaScript frameworks such as React, Angular, or Next.js, and back-end technologies such as TypeScript, Node.js, Python with Django or Flask, or Java with Spring Boot.
  • Experience with relational databases such as PostgreSQL or MySQL and NoSQL databases such as MongoDB or Redis.
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools such as Git or Azure DevOps.
  • At least one year of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • At least one year of experience with Anthropic, Google, or OpenAI Frontier Gen AI Platforms.
  • Hands-on experience with at least one of Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, or OpenAI Agents SDK.
  • Understanding of AI system architectures and the ability to align application pipelines to support them.
  • Ability to independently own defined scope end-to-end while producing consistent, high-quality work.
  • Experience working directly with business stakeholders to translate requirements into technical solutions.
  • Strong communication skills and ability to articulate technical concepts, risks, and trade-offs.
  • Strong accountability and ownership mindset in achieving client outcomes.
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
  • Ability to travel up to 20% on average, based on assigned work and clients or industries served.
  • Ability to work independently and collaboratively as part of a team.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to provide clear guidance to others.

Responsibilities

  • Translate business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploy them in alignment with client requirements and architecture.
  • Identify, troubleshoot, and resolve technical issues within scope.
  • Partner with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes.
  • Contribute to solution design and align client needs with delivery feasibility.
  • Capture delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer.
  • Support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support to clients post-deployment.
  • Embed directly with client engagement teams to design, build, and deliver cybersecurity and AI-enabled solutions.

Desired Qualifications

  • Experience and/or certification with Anthropic is strongly preferred.
  • Familiarity with cybersecurity concepts such as application security, cloud security, identity, or detection engineering.
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms such as Elasticsearch or OpenSearch, or graph databases such as Neo4j.
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications in AWS, Azure, or GCP.
  • Basic familiarity with machine learning frameworks such as TensorFlow or PyTorch.
  • Ability to lead projects or workstreams.

About the Company

Deloitte

Audits companies and advises on tax and technology

Deloitte audits companies and advises businesses and governments on tax, technology, and risk, and it is one of the Big Four, the world's four largest accounting firms. In 1849 its founder became the first independent auditor of a public company, Britain's Great Western Railway. Its auditors check companies' financial reports for errors and fraud before investors rely on them, while its consultants design strategy, install business software, and defend clients against cyberattacks. Clients pay fees for each audit or project, and each country's Deloitte firm is a separate business owned by its local partners. Deloitte was founded in London in 1845 and is based in New York.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$17.1M
Headquarters
New York, NY
Founded
1845

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